Headline risk
13%
Low RiskPaper goods machine setters, operators, and tenders
United States AI Work Index tracks this occupation on the shared structural baseline and then layers on local demand resilience, wages, and confidence.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
Set up, operate, or tend paper goods machines that perform a variety of functions, such as converting, sawing, corrugating, banding, wrapping, boxing, stitching, forming, or sealing paper or paperboard sheets into products.
Task evidence
100% weighted task match · 0% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 49,390
Employment 2024
97.5K
Projected Change (2024–34)
-6.3%
Openings (2024–34)
8.1K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Examine completed work to detect defects and verify conformance to work orders, and adjust machinery as necessary to correct production problems. AI use: 0%
- 2. Observe operation of various machines to detect and correct machine malfunctions such as improper forming, glue flow, or pasteboard tension. AI use: 0%
- 3. Start machines and move controls to regulate tension on pressure rolls, to synchronize speed of machine components, and to adjust temperatures of glue or paraffin. AI use: 0%
- 4. Install attachments to machines for gluing, folding, printing, or cutting. AI use: 0%
- 5. Disassemble machines to maintain, repair, or replace broken or worn parts, using hand or power tools. AI use: 0%
- 6. Place rolls of paper or cardboard on machine feed tracks, and thread paper through gluing, coating, and slitting rollers. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 40.6 · 55K employed
Under 25: 4% · 25–54: 80% · 55+: 16%
Related
No direct US role match is available yet for this occupation.
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Mapping quality
major_group_fallback · employment series present
Narrative & sources
Published limitations
This page shows the local country layer, not realised individual job outcomes. The global structural baseline is shared across countries; only the local demand and wage layer changes here.
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.